您当前的位置:
首页 >
文章列表页 >
Similar target replacement for remote sensing object detection data augmentation
Image Processing | 更新时间:2024-06-27
    • Similar target replacement for remote sensing object detection data augmentation

    • 在遥感图像目标检测领域,专家提出了基于相似目标替换的增广方法,通过样本库建立、相似类划分、少数样本补偿和替换样本预处理等步骤,有效提升了模型的泛化能力和检测准确率。
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 6, Pages: 813-821(2024)
    • DOI:10.37188/CJLCD.2023-0195    

      CLC: TP391
    • Published:05 June 2024

      Received:26 May 2023

      Revised:01 June 2023

    扫 描 看 全 文

  • SUN Deyao, ZHU Ming, WANG Jiarong. Similar target replacement for remote sensing object detection data augmentation. [J]. Chinese Journal of Liquid Crystals and Displays 39(6):813-821(2024) DOI: 10.37188/CJLCD.2023-0195.

  •  
  •  

0

Views

14

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Improved YOLOv5 lightweight binocular vision UAV obstacle avoidance algorithm based on Ghost module
Star map spatial target detection method based on fast local contrast and target features
Object detection in foggy image based on Double-Head
Object detection algorithm based on adaptive focal CRIoU loss

Related Author

SUN De-yao
ZHU Ming
WANG Jia-rong
JIA Yifan
CAO Tianyi
BAI Yue
NIU Haipeng
YAN Changxiang

Related Institution

Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences, |Changchun
SWJTU-Leeds Joint School
Changchun Changguang Zhiou Technology Co., Ltd.
Department of Electric and Electronic Engineering, Shanghai University of Engineering Science
College of Software Engineering, Liaoning Technical University
0